Plotly

Intro to Plotly in R

Jingqi Huang, [NAME 2]

Overview

https://plotly.com/r/basic-charts/

Install and Packages

# install.packages("ggplot2")
# install.packages("plotly")
library(ggplot2)
library(plotly)
library(dplyr)

Basic examples

2D Scatter Plot

plot_ly(filter(diamonds, color=='D'), x = ~carat, y = ~price, color = ~clarity, 
        marker = list(size=4, opacity=0.5), 
        # hover text
        text = ~paste("Price: ", price, "$<br>Cut: ", cut, "<br>Clarity: ", clarity)) %>%
  # set title and axis
  layout(title="Interactive Scatter Plot with Plotly")

3D Scatter Plot

plot_ly(diamonds[sample(nrow(diamonds), 1000), ], x=~price/carat, y=~table, z=~depth, color=~cut, marker = list(size=4, opacity=0.5))

mtcars <- mutate(mtcars, type = case_when(mtcars$am == 0 ~ "Auto", mtcars$am == 1 ~ "Manual"))
plot_ly(mtcars, x=~mpg, y=~wt, z=~hp, color=~type) %>%
  layout(title="Interactive 3D Scatter Plot with Plotly", scene = list(xaxis = list(title = "mpg"), yaxis = list(title = "weight"), zaxis = list(title = "horsepower")))

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

Boxplot

ggplot(diamonds, aes(x=clarity, y=price/carat, color=clarity)) +
  geom_boxplot() + 
  coord_flip() +
  ggtitle("BoxPlot with ggplot2")

plot_ly(diamonds, x = ~price/carat, y = ~clarity, color = ~clarity, type = "box") %>%
  layout(title="Interactive BoxPlot with Plotly")